Search results for "uav"
showing 10 items of 113 documents
UAV SURVEY FOR THE ARCHAEOLOGICAL MAP OF LILYBAEUM (MARSALA, ITALY)
2019
Abstract. Collecting information and mapping are fundamental aspects of systematic archaeological excavation, documentation and interpretation. The process of recording physical evidence is the first step in the archaeological study with the goal to derive spatial and semantic information from the gathered and available data. Archaeological reports always include 2D maps, sections, data distribution and other spatial data. Indeed, the representation is inseparable from the archaeological practice, but this is undoubtedly a time-consuming activity. Nowadays, archaeologists can take advantages of various recording techniques to produce highly accurate 3D models and ortho-images of archaeologi…
High-resolution orthophoto map and digital surface models of the largest Argentine Islands (the Antarctic) from unmanned aerial vehicle photogrammetry
2020
This study presents the first high-resolution orthophoto maps and digital surface models (DSMs) of the largest Argentine Islands, West Antarctica. Aerial surveys with small unmanned aerial vehicle (UAV) were performed in Austral summer, 2018, taking 10,041 aerial photographs. Accuracy requirements were ensured using ground control points (GCPs). A resolution of 3.4 and 6.8 cm/px of orthomosaics and DSMs is reached on average, and the RMS reprojection error is 0.22 m on average. We report the morphometric parameters of surveyed islands and discuss issues related to accuracy and the usage of UAVs in polar conditions. This study demonstrates that small and low cost UAVs can be successfully use…
Low-cost remotely operated underwater and unmanned aerial vehicles: New technologies for archaeo-geophysics
2017
In this paper we present a device for magnetic survey devoted in particular for archaeological purposes. The device is able to perform accurate measurements of the total magnetic field, it is a flexible device, programmable by the users to be suitable for any specific need. The device relies upon microcontroller, a digital three axes Fluxgate magnetometer, a GPS, and a Real Time Clock (RTC) module. The device is compact and lightweight to be assembled on aerial and marine drones. Recently, Remotely Operated Vehicles (ROV) and Unmanned Aerial Vehicles (UAV) gained great potential for archaeo-geophysics because of their versatility and low cost, therefore the magnetometer represents a very us…
Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network
2018
In this study we apply 3D convolutional neural network (CNN) for tree species identification. Study includes the three most common Finnish tree species. Study uses a relatively large high-resolution spectral data set, which contains also a digital surface model for the trees. Data has been gathered using an unmanned aerial vehicle, a framing hyperspectral imager and a regular RGB camera. Achieved classification results are promising by with overall accuracy of 96.2 % for the classification of the validation data set. nonPeerReviewed
Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar
2021
mmWave radars play a vital role in autonomous systems, such as unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), ground station control and monitoring systems. The challenging task when using mmWave radars is to estimate the accurate angle of arrival (AoA) of the targets, due to the limited number of receivers. In this paper, we present a novel AoA estimation technique, using mmWave FMCW radars operating in the frequency range 77–81 GHz by utilizing the mechanical rotation. Rotating the radar also increases the field of view in both azimuth and elevation. The proposed method estimates the AoA of the targets, using only a single transmitter and receiver. The measurements are…
Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications
2014
Remote sensing is a key tool for precision agriculture applications as it is capable of capturing spatial and temporal variations in crop status. However, satellites often have an inadequate spatial resolution for precision agriculture applications. High-resolution Unmanned Aerial Vehicles (UAV) imagery can be obtained at flexible dates, but operational costs may limit the collection frequency. The current study utilizes data fusion to create a dataset which benefits from the temporal resolution of Formosat-2 imagery and the spatial resolution of UAV imagery with the purpose of monitoring crop growth in a potato field. The correlation of the Weighted Difference Vegetation Index (WDVI) from …
Gap acceptance analysis in an urban intersection through a video acquired by an UAV
2014
Purpose of this paper is to apply a methodology previously developed to achieve an accurate measurements of the real traffic condition thought the use of a video acquired by an UAV (Unmanned Aerial Vehicle) and a probe vehicle equipped with a differential GPS. The used methodology is not invasive and thus, it doesn't influence the driver behavior. The used equipment must not be compared to the traditional techniques of traffic flow but it can be used for particular situations in which the installation of fixed detectors is not economic. In particular, we have analyzed the gap acceptance for an urban intersection between a main road with dual carriageway and two lanes in one direction, that …
Robots, privacy and data protection
2015
A research on robots, drones and privacy/data protection, with focus on cloud robotics, Internet of Things, contracts and the use cases of telepresence, courier robots and smart cities quadricopters.
The use of very high resolution images for studying Posidonia oceanica reefs
2020
Posidonia oceanica is an endemic Mediterranean seagrass that forms wide and dense meadows from the surface up to about 40 m depth. This species can develop a biogenic structure called matte, a typical terraced formation built up by itself, consisting of intertwined rhizomes, roots and sediment, which may allow shoots to reach the sea surface forming reefs (récif barrière), considered natural monuments. Posidonia oceanica reefs are particularly exposed to the ongoing increase in temperature and in storm frequency and intensity due to climate change, with negative repercussions on their conservation. Much more attention must be paid to the implementation of monitoring tools able to detect ear…
UAV-based hyperspectral monitoring of small freshwater area
2014
Recent development in compact, lightweight hyperspectral imagers have enabled UAV-based remote sensing with reasonable costs. We used small hyperspectral imager based on Fabry-Perot interferometer for monitoring small freshwater area in southern Finland. In this study we shortly describe the utilized technology and the field studies performed. We explain processing pipeline for gathered spectral data and introduce target detection-based algorithm for estimating levels of algae, aquatic chlorophyll and turbidity in freshwater. Certain challenges we faced are pointed out.